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Proceedings Paper

Content based retrieval of lesioned brain images
Author(s): Stephen Batty; Ann Blandford; John Clark; Tim Fryer; Xiaohong Gao
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Paper Abstract

HI-PACS enable more efficient data-management leading to increased operating efficiency and therefore better patient care, a content based pet image retrieval system would contribute to the development of a HI-PACS. A database of PET neuro-images has been created with a facility for retrieving via visual content. The adaptation of algorithms developed for alternate imaging modalities (eg-MRI) formed the basis of feature detection and measurement algorithms. The application of these algorithms to greyscale PET images results in data that is employed as database indices and similarity metrics. The feature detection and measurement algorithms can be split into two different methods. The first uses the extracted ideal mid sagittal symmetry line to detect differences between the two hemisphere of the brain, while the second utilizes Gabor filters to measure the texture of the whole brain.

Paper Details

Date Published: 16 May 2002
PDF: 9 pages
Proc. SPIE 4685, Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation, (16 May 2002); doi: 10.1117/12.466997
Show Author Affiliations
Stephen Batty, Middlesex Univ. (United Kingdom)
Ann Blandford, Middlesex Univ. (United Kingdom)
John Clark, Cambridge Univ. (United Kingdom)
Tim Fryer, Cambridge Univ. (United Kingdom)
Xiaohong Gao, Middlesex Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 4685:
Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation
Eliot L. Siegel; H. K. Huang, Editor(s)

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